How to Use the Webshare MCP in LlamaIndex
Index Webshare proxy data into search results with LlamaIndex.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Webshare MCP to LlamaIndex
Create your Vinkius account to connect Webshare to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Webshare Proxy List Indexing
The `list_proxies` tool provides all assigned proxy IPs, including their ports and credentials. By indexing this output, you create a searchable knowledge base of your entire network setup. You can query past configurations to get instant answers about current proxy availability without having to run the list command again.
MCP Server Quota Tracking
LlamaIndex ingests data from `get_account_profile`, allowing you to search for historical plan limits and bandwidth quotas. This means your RAG application can ground answers in actual usage metrics. You also index the results of `get_replacement_quota` so that queries about remaining proxy replacement chances are answered immediately.
Managing Webshare Access Rules
When you use `list_authorized_ips`, LlamaIndex indexes all whitelisted IPs. You can then ask questions like, 'Which IPs were authorized last week?' For removal or addition of access points, the data from `authorize_new_ip` and `revoke_ip_authorization` becomes part of your unified index.
Set up Webshare MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports. - 3
Convert to LlamaIndex tools
Call
mcp_tool_spec.to_tool_list_async()to convert all Webshare MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
# Connect to the MCP
mcp_client = BasicMCPClient(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)
# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()
# Create and run the agent
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt="You have access to Webshare tools.",
)
response = await agent.run("List recent Webshare data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Webshare. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Webshare MCP in LlamaIndex
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